The hmm package

[Tags: bsd3, library]

Data.HMM is a library for using Hidden Markov Models with Haskell. Commonly used algoriths (i.e. the forward and backwards algorithms, Viterbi, and Baum-Welch) are implemented. The best way to learn to use it is to visit the tutorial at The tutorial also includes performance benchmarks that you should be aware of.


Versions0.1, 0.1.1, 0.2.1,
Change logNone available
Dependenciesarray, base (==4.*), data-memocombinators, list-extras, logfloat [details]
AuthorMike Izbicki
CategoryAlgorithms, Data mining, Machine learning
Home page
UploadedMon Mar 26 19:37:56 UTC 2012 by MikeIzbicki
Downloads968 total (25 in last 30 days)
0 []
StatusDocs uploaded by user
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